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Interactive unsupervised classification and visualization for browsing an image collection
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DOI：10.1016/j.patcog.2009.03.024.png)
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Abstract
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In this paper, we propose an approach to interactive navigation in image collections. As structured groups are more appealing to users than flat image collections, we propose an image clustering algorithm, with an incremental version that handles time-varying collections. A 3D graph-based visualization technique reflects the classification state. While this classification visualization is itself interactive, we show how user feedback may assist the classification, thus enabling a user to improve it. (C) 2009 Elsevier Ltd. All rights reserved.
Keywords:
Variational Bayes
Image browsing
Interactive visualization
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